Abstract
The paper proposed the method for text skew detection based on log-polar transformation. The original image is transformed in the log-polar domain as well as the control ellipse. Theirs cross-correlation established the cost function. The extraction of the cost function maximums gives the text skew value in the left and right region from the centre point of transformation. The method is suitable for the printed text. It is characterized by the accuracy and computational time inexpensiveness.DOI: http://dx.doi.org/10.5755/j01.eee.19.2.3471
Highlights
Log-polar transformation maps points from the image, i.e.Cartesian space to the points in the log-polar parametric space
It should be noted that the text skew occurrence is unavoidable
The text skew estimation represents the crucial step in optical character recognition system (OCR)
Summary
Log-polar transformation maps points from the image, i.e. Cartesian space to the points in the log-polar parametric space. Cartesian space coordinates x and y are converted into polar coordinates radius r and angle θ Their mapping is as follows [3]: The printed text is characterized with an articulated regularity in shape [1]. This paper introduces a new algorithm for text skew estimation It is based on the co-operation of the two methods, log-polar transformation and cross-correlation. It converts two images, i.e. the original image and the image with referent text skew, in log-polar space. Both images are cross-correlated in the logpolar domain in order to extract theirs similarity. The (x, y) coordinates from Cartesian space are mapped to (ρ, θ) coordinates in log-polar space
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
